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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20211207T055410Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211114T120000
DTEND;TZID=America/Chicago:20211114T123000
UID:submissions.supercomputing.org_SC21_sess424_ws_drbsd101@linklings.com
SUMMARY:PyParSVD: A Streaming, Distributed and Randomized Singular-Value-D
 ecomposition Library
DESCRIPTION:Workshop\n\nPyParSVD: A Streaming, Distributed and Randomized 
 Singular-Value-Decomposition Library\n\nMaulik, Mengaldo\n\nWe introduce P
 yParSVD, a Python library that implements a streaming, distributed and ran
 domized algorithm for the singular value decomposition. To demonstrate its
  effectiveness, we extract coherent structures from scientific data.  Furt
 hermore, we show weak scaling assessments on up to 256 nodes of the Theta 
 machine at Argonne Leadership Computing Facility, demonstrating potential 
 for large-scale data analyses of practical data sets.\n\nhttps://github.co
 m/Romit-Maulik/PyParSVD\n\nTag: Online Only, Applications, Big Data, Data 
 Analytics, Data Management\n\nRegistration Category: Workshop Reg Pass
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